Feature selection via normative fuzzy information weight with application into tumor classification. - Jianhua Dai; Jiaolong Chen (Appl. Soft Comput., 2020)

Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation. - Jianhua Dai; Jiaolong Chen; Ye Liu; Hu Hu (Knowl. Based Syst., 2020)

Measures of uncertainty based on Gaussian kernel for a fully fuzzy information system. - Zhaowen Li; Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Hamido Fujita (Knowl. Based Syst., 2020)

Fast feature selection for interval-valued data through kernel density estimation entropy. - Jianhua Dai; Ye Liu; Jiaolong Chen; Xiaofeng Liu 007 (Int. J. Mach. Learn. Cybern., 2020)

Unsupervised attribute reduction based on $$ alpha $$-approximate equal relation in interval-valued information systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Chucai Zhang (Int. J. Mach. Learn. Cybern., 2020)

Knowledge granularity based incremental attribute reduction for incomplete decision systems. - Chucai Zhang; Jianhua Dai; Jiaolong Chen (Int. J. Mach. Learn. Cybern., 2020)

A fuzzy α-similarity relation-based attribute reduction approach in incomplete interval-valued information systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Chucai Zhang (Appl. Soft Comput., 2021)

Measures of Uncertainty Based on Gaussian Kernel for Type-2 Fuzzy Information Systems. - Xiaofeng Liu 007; Jianhua Dai; Jiaolong Chen; Changzhong Wang; Jianming Zhan 001 (Int. J. Fuzzy Syst., 2021)

Feature selection via max-independent ratio and min-redundant ratio based on adaptive weighted kernel density estimation. - Jianhua Dai; Ye Liu; Jiaolong Chen (Inf. Sci., 2021)